My main research interests:

• computational stereo vision (some results on real-time stereo are presented on the Photogrammetry Lab web page)
• probabilistic image modelling
• medical image analysis (in collaboration with Prof. A. A. Farag and Dr. A. El-Baz)
• low-level image processing
• 3D scene understanding
• space and aerial image analysis

Our eyes solve visual problems so easily that one may be puzzled why even most successful
computer vision solutions rank far below in quality and processing rate. For me, human vision
is a natural miracle, and more than 45 years spent in various image processing and computer
vision domains suggest that it is extremely hard (if at all possible) to bridge a gap between
human and computer visual skills... But, this is still a good challenge to mimic one or another
side of human vision with computational techniques, especially, because there always exist
particular applied problems where computer vision can amplify or replace human vision.

Every such problem is quite complex but just due to this reason is VERY attractive!
Look through some recent results obtained in various computer vision and image analysis areas:

• computational binocular stereo,
• texture modelling using Markov - Gibbs random fields,
• 3D scene reconstruction from calibrated multiple views, and
• the least square correlation based matching of non-calibrated multiple views.